ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks | 0 | 0.34 | 2022 |
Recurring Concept Memory Management In Data Streams: Exploiting Data Stream Concept Evolution To Improve Performance And Transparency | 0 | 0.34 | 2021 |
Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification | 0 | 0.34 | 2021 |
Self-Attention Meta-Learner for Continual Learning | 0 | 0.34 | 2021 |
The banking transactions dataset and its comparative analysis with scale-free networks | 0 | 0.34 | 2021 |
Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information | 1 | 0.36 | 2021 |
Selfish Sparse Rnn Training | 0 | 0.34 | 2021 |
Evolving Plasticity For Autonomous Learning Under Changing Environmental Conditions | 0 | 0.34 | 2021 |
calibrated adversarial training. | 0 | 0.34 | 2021 |
On Generalization of Graph Autoencoders with Adversarial Training | 0 | 0.34 | 2021 |
SpaceNet: Make Free Space for Continual Learning | 1 | 0.37 | 2021 |
Feedback Loop and Bias Amplification in Recommender Systems | 4 | 0.41 | 2020 |
Controlling the Accuracy and Uncertainty Trade-off in RUL Prediction with a Surrogate Wiener Propagation Model | 0 | 0.34 | 2020 |
struc2gauss: Structural role preserving network embedding via Gaussian embedding. | 2 | 0.35 | 2020 |
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling | 0 | 0.34 | 2020 |
Learning with delayed synaptic plasticity | 2 | 0.46 | 2019 |
Sparse Evolutionary Deep Learning With Over One Million Artificial Neurons On Commodity Hardware | 0 | 0.34 | 2019 |
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution. | 3 | 0.39 | 2018 |
Twitter rumour detection in the health domain. | 6 | 0.64 | 2018 |
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data. | 4 | 0.38 | 2018 |
Tink: A Temporal Graph Analytics Library for Apache Flink. | 2 | 0.35 | 2018 |
Health-Related Rumour Detection On Twitter | 0 | 0.34 | 2017 |
Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining. | 0 | 0.34 | 2017 |
A comparative study of dimensionality reduction techniques to enhance trace clustering performances | 19 | 0.97 | 2013 |
Handling concept drift in medical applications: Importance, challenges and solutions | 0 | 0.34 | 2010 |
Heart failure hospitalization prediction in remote patient management systems | 3 | 0.58 | 2010 |
Handling outliers and concept drift in online mass flow prediction in CFB boilers | 7 | 0.67 | 2009 |
Using minimum description length for process mining | 26 | 1.44 | 2009 |
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift | 12 | 0.83 | 2009 |
Local dimensionality reduction and supervised learning within natural clusters for biomedical data analysis. | 4 | 0.44 | 2006 |